Excel data Price Sqft Beds Baths 784000 2583 4 3.0 822000 2500 4 2.5 713000 2400 3 3.0 689000 2200 3 2.5 685000 2716 3 3.5 645000 2524 3 2.0 432692 1891 3 1.5 454667 1786 3 2.5 718056 2567 3 2.5 585000 1947 3 1.5 583000 2224 3 2.5 379333 2175 3 1.0 764400 2509 4 3.0 780000 2149 4 2.5 537000 2907 3 2.5 516000 1951 4 2.0 738111 2531 4 2.5 714000 2418 4 3.0 495000 1692 3 2.0 463000 1714 3 2.0 639800 2310 4 3.0 631400 2359 4 3.0 435000 1500 3 1.5 431700 1896 2 1.5 414000 1182 2 1.5 401500 1152 3 1.0 478800 1660 4 2.0 253333 896 3 1.0 285000 954 2 1.0 375900 2275 5 1.0 620000 1675 3 2.0 459375 1590 3 2.0 356500 1431 2 2.0 412500 1703 3 2.0 412500 1831 3 2.0 307500 850 1 1.0 A realtor in Arlington, Massachusetts, is analyzing the relationship between the sale price of a home (Price in $), its square footage (Sqft), the number of bedrooms (Beds), and the number of bathrooms (Baths). She collects data on 36 sales in Arlington in the first quarter of 2009 for the analysis. A portion of the data is shown in the accompanying table.   Price Sqft Beds Baths 784,000 2,583 4 3.0 822,000 2,500 4 2.5 ⋮ ⋮ ⋮ ⋮ 307,500 850 1 1.0 a. Estimate the model: Price = β0 + β1Sqft + β2Beds + β3Baths + ε Label                Coefficients Intercept                ? Sq ft                       ? Beds                      ? Baths                     ? b-1. Interpret the coefficient of sqft. multiple choice 1 For every additional square foot, the predicted price of a home increases by $103.63. For every additional square foot, the predicted price of a home increases by $103.63, holding number of bedrooms and bathrooms constant. For every additional square foot, the predicted price of a home increases by $103.63, holding square foot, number of bedrooms and bathrooms constant. b-2. Interpret the coefficient of beds. multiple choice 2 For every additional bedroom, the predicted price of a home increases by $22,600.49. For every additional bedroom, the predicted price of a home increases by $22,600.49, holding square footage and number of baths constant. For every additional bedroom, the predicted price of a home increases by $22,600.49, holding square foot, number of bedrooms and bathrooms constant. b-3. Interpret the coefficient of baths. multiple choice 3 For every additional bathroom, the predicted price of a home increases by $114,828.49. For every additional bathroom, the predicted price of a home increases by $114,828.49, holding square footage and number of bedrooms constant. For every additional bathroom, the predicted price of a home increases by $114,828.49, holding square foot, number of bedrooms and bathrooms constant. c. Predict the Priceˆ of a 2,053 square-foot home with three bedrooms and two bathroom

Algebra: Structure And Method, Book 1
(REV)00th Edition
ISBN:9780395977224
Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Publisher:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Chapter2: Working With Real Numbers
Section2.3: Rules For Addition
Problem 8P
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This is a practice exam.  i would like to know how to solve using excel or megastat

Excel data

Price Sqft Beds Baths
784000 2583 4 3.0
822000 2500 4 2.5
713000 2400 3 3.0
689000 2200 3 2.5
685000 2716 3 3.5
645000 2524 3 2.0
432692 1891 3 1.5
454667 1786 3 2.5
718056 2567 3 2.5
585000 1947 3 1.5
583000 2224 3 2.5
379333 2175 3 1.0
764400 2509 4 3.0
780000 2149 4 2.5
537000 2907 3 2.5
516000 1951 4 2.0
738111 2531 4 2.5
714000 2418 4 3.0
495000 1692 3 2.0
463000 1714 3 2.0
639800 2310 4 3.0
631400 2359 4 3.0
435000 1500 3 1.5
431700 1896 2 1.5
414000 1182 2 1.5
401500 1152 3 1.0
478800 1660 4 2.0
253333 896 3 1.0
285000 954 2 1.0
375900 2275 5 1.0
620000 1675 3 2.0
459375 1590 3 2.0
356500 1431 2 2.0
412500 1703 3 2.0
412500 1831 3 2.0
307500 850 1 1.0

A realtor in Arlington, Massachusetts, is analyzing the relationship between the sale price of a home (Price in $), its square footage (Sqft), the number of bedrooms (Beds), and the number of bathrooms (Baths). She collects data on 36 sales in Arlington in the first quarter of 2009 for the analysis. A portion of the data is shown in the accompanying table.
 

Price Sqft Beds Baths
784,000 2,583 4 3.0
822,000 2,500 4 2.5
307,500 850 1 1.0

a. Estimate the model: Price = β0 + β1Sqft + β2Beds + β3Baths + ε

Label                Coefficients

Intercept                ?

Sq ft                       ?

Beds                      ?

Baths                     ?

b-1. Interpret the coefficient of sqft.

multiple choice 1

  • For every additional square foot, the predicted price of a home increases by $103.63.
  • For every additional square foot, the predicted price of a home increases by $103.63, holding number of bedrooms and bathrooms constant.
  • For every additional square foot, the predicted price of a home increases by $103.63, holding square foot, number of bedrooms and bathrooms constant.



b-2. Interpret the coefficient of beds.

multiple choice 2

  • For every additional bedroom, the predicted price of a home increases by $22,600.49.
  • For every additional bedroom, the predicted price of a home increases by $22,600.49, holding square footage and number of baths constant.
  • For every additional bedroom, the predicted price of a home increases by $22,600.49, holding square foot, number of bedrooms and bathrooms constant.



b-3. Interpret the coefficient of baths.

multiple choice 3

  • For every additional bathroom, the predicted price of a home increases by $114,828.49.
  • For every additional bathroom, the predicted price of a home increases by $114,828.49, holding square footage and number of bedrooms constant.
  • For every additional bathroom, the predicted price of a home increases by $114,828.49, holding square foot, number of bedrooms and bathrooms constant.



c. Predict the Priceˆ of a 2,053 square-foot home with three bedrooms and two bathrooms

Price = 

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